For environmental-effects research related to energy technologies and their use, focusing on the impacts of climate and atmospheric changes on the physiology, growth, and biogeochemical cycles of North American forest ecosystems.
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All Corporate Fellow summaries reflect the awardee and ORNL at the time the fellowship was awarded.
2012
For pioneering research and development of new materials for advanced energy technologies, including materials for (a) the storage of nuclear waste, (b) the solid-state generation of electrical power directly from heat, and (c) the lossless transport of electricity.
2010
For his pioneering research in atom probe field-ion microscopy and atom probe tomography, most recently to understand the unprecedented properties and behaviors of nanostructured ferritic steels.
2009
For far-reaching accomplishments on national security issues relating to nuclear weapons proliferation, security of nuclear materials, and counterterrorism.
For contributions to the methodology for electronic structure calculations and in applications to diverse classes of materials.
2008
For outstanding scientific, programmatic, and institutional contributions to ORNL in advanced computational structural mechanics and nuclear safety technologies.
For pioneering the application of chaos theory and nonlinear dynamics to energy technologies, including gas-fluidized beds, internal combustion engines, and pulsed combustion.
For pioneering research and distinguished contributions to the field of high-temperature superconductors, including fundamental materials science advances and technical innovations that enable commercialization.
2002
For pioneering research in disturbance and landscape ecology and in modeling of land-use change with its implications for global changes, which have influenced environmental decision making on a worldwide scale.
For internationally recognized contributions in distributed and cluster computing, including the development of the Parallel Virtual Machine and the Message Passing Interface standard now widely used in science to solve computational problems in biology, physics, chemistry, and materials science.